An analytical framework for supply network risk propagation: A Bayesian network approach

Myles D. Garvey, Steven Carnovale and Sengun Yeniyurt

European Journal of Operational Research, 2015, vol. 243, issue 2, 618-627

Abstract: There are numerous examples of supply chain disruptions that have occurred which have had devastating impacts not only on a single firm but also on various other firms in the supply network. We utilize a Bayesian Network (BN) approach and develop a model of risk propagation in a supply network. The model takes into account the inter-dependencies among different risks, as well as the idiosyncrasies of a supply chain network structure. Specific risk measures are derived from this model and a simulation study is utilized to illustrate how these measures can be used in a supply chain setting.

Keywords: Risk analysis; Risk management; Supply chain management; Networks; Uncertainty modeling (search for similar items in EconPapers)
Date: 2015
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Citations: View citations in EconPapers (69)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:243:y:2015:i:2:p:618-627

DOI: 10.1016/j.ejor.2014.10.034

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